Battery Impedance Modeling and Comprehensive Comparisons of State-Of-The-Art Cylindrical 18650 Battery Cells considering Cells’ Price, Impedance, Specific Energy and C-Rate

Estaller, Julian; Kersten, Anton; Kuder, Manuel; Mashayekh, Ali; Buberger, Johannes; Thiringer, Torbjörn; Eckerle, Richard; Weyh, Thomas

doi:10.1109/eeeic/icpseurope51590.2021.9584562

Cited by 13 publications

(8 citation statements)

References 33 publications

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“…In the literature, there are tens of models, each of them covering a particular aspect of the battery that is investigated in the work which proposed it. Since a precise degradation mechanisms analysis is outside the purpose of this paper, a simple ECM, based on the Warburg model, is adopted that was used in the analysis of a battery of similar chemistry [40]. As shown in Figure 2 For the PC workstation, the MiTS Pro Testing software (Version 8.00) and the Gamry Framework (version 7.8.4) are installed on a PC to set the test schedules, to monitor the electrical and thermal parameters, to check possible safety thresholds trespassing, and to collect the measurement data.…”

Section: Equivalent Circuit Model Usedmentioning

confidence: 99%

Section: Equivalent Circuit Model Usedmentioning

confidence: 99%

“…Frequency domain-based methods, in which EIS measurements at different scan frequencies are used to obtain an impedance spectrum and to estimate its variation with the aging of the cells. For instance, in [38][39][40], these methods are used to construct a dataset for Machine Learning-based battery prognostic techniques or aging modeling of different Lithium-ion cells' technologies.…”

mentioning

confidence: 99%

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Towards a State of Health Definition of Lithium Batteries through Electrochemical Impedance Spectroscopy

Patrizi,

Canzanella,

Ciani

et al. 2024

Electronics

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In the era of Industry 4.0, achieving optimization in production and minimizing environmental impact has become vital. Energy management, particularly in the context of smart grids, plays a crucial role in ensuring sustainability and efficiency. Lithium-ion batteries have emerged as a leading technology for energy storage due to their versatility and performances. However, accurately assessing their State of Health (SOH) is essential for maintaining grid reliability. While discharge capacity and internal resistance (IR) are commonly used SOH indicators, battery impedance also offers valuable insights into aging degradation. This article explores the use of Electrochemical Impedance Spectroscopy (EIS) to define the SOH of lithium batteries. By analyzing impedance spectra at different frequencies, a comprehensive understanding of battery degradation is obtained. A life cycle analysis is conducted on cylindrical Li–Mn batteries under various discharge conditions, utilizing EIS measurements and an Equivalent Circuit Model (ECM). This study highlights the differential effects of aging on battery characteristics, emphasizing the variations at different life stages and the behavior changes on each region of the impedance spectrum. Furthermore, it demonstrates the efficacy of EIS and the advantages of this technique compared to the solely IR measurements used in tracking SOH over time. This research contributes to advancing the understanding of lithium battery degradation and underscores the importance of EIS in defining their State of Health for Smart Grids applications.

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Section: Equivalent Circuit Model Usedmentioning

confidence: 99%

Section: Equivalent Circuit Model Usedmentioning

confidence: 99%

mentioning

confidence: 99%

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Towards a State of Health Definition of Lithium Batteries through Electrochemical Impedance Spectroscopy

Patrizi,

Canzanella,

Ciani

et al. 2024

Electronics

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“…In this section, the parameters of the three RC-link model of several different types of cutting-edge cylindrical 18650 battery cells are compared according to data from [14]. Based on the adaptation to the entire system, the following basic requirements for BESS are proposed:…”

Section: Battery Selection and Sizingmentioning

confidence: 99%

Submodeling Method-Based Thermal Investigation of the Battery Energy Storage System Integrated in a 450 kW EV Charger

Guan,

Wu,

Qin

et al. 2023

2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

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The electric vehicle (EV) market is expanding rapidly. However, the main barriers to EV adoption are high vehicle costs, range issues, and charging infrastructure. Meanwhile, energy storage systems (ESS) appear as a promising solution to preventing grid overload during charging and reducing infrastructure costs. In this paper, the integration of the battery energy storage system (BESS) in a 450 kW EV charger is designed and investigated via modeling and simulation mainly from the perspective of thermal management. To explore the heat dissipation and the temperature distribution across the pack, the thermal model based on the sub-modeling technique is developed via COMSOL, and a preliminary layout and cooling strategy are determined.

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“…As a result, the purpose of this post conference article based on [25] is to provide concise but detailed comparisons of a selection of state-of-the-art cylindrical 18650 battery cells. This type of cell is used primarily by Tesla and several Asian car manufacturers.…”

Section: Introductionmentioning

confidence: 99%

Overview of Battery Impedance Modeling Including Detailed State-of-the-Art Cylindrical 18650 Lithium-Ion Battery Cell Comparisons

et al. 2022

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Electrical models of battery cells are used in simulations to represent batteries’ behavior in various fields of research and development involving battery cells and systems. Electrical equivalent circuit models, either linear or nonlinear, are commonly used for this purpose and are presented in this article. Various commercially available cylindrical, state-of-the-art lithium-ion battery cells, both protected and unprotected, are considered. Their impedance properties, according to four different equivalent circuit models, are measured using electrochemical impedance spectroscopies. Furthermore, the pricing, impedance, specific energy, and C-rate of the chosen battery cells are compared. For example, it is shown that the energy density of modern 18650 cells can vary from a typical value of 200 to about 260 Wh kg−1, whereas the cell price can deviate by a factor of about 3 to 5. Therefore, as a result, this study presents a concise but comprehensive battery parameter library that should aid battery system designers or power electronic engineers in conducting battery simulations and in selecting appropriate battery cells based on application-specific requirements. In addition, the accuracies and computational efforts of the four equivalent circuit models are compared.

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Battery Impedance Modeling and Comprehensive Comparisons of State-Of-The-Art Cylindrical 18650 Battery Cells considering Cells’ Price, Impedance, Specific Energy and C-Rate

Cited by 13 publications

References 33 publications

Towards a State of Health Definition of Lithium Batteries through Electrochemical Impedance Spectroscopy

Towards a State of Health Definition of Lithium Batteries through Electrochemical Impedance Spectroscopy

Submodeling Method-Based Thermal Investigation of the Battery Energy Storage System Integrated in a 450 kW EV Charger

Overview of Battery Impedance Modeling Including Detailed State-of-the-Art Cylindrical 18650 Lithium-Ion Battery Cell Comparisons

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